The "AI-based Drug Repurposing Market, Growth Opportunities, Global, 2024-2029" report has been added to ResearchAndMarkets.com's offering.

This study analyzes the emergence of AI-based drug repurposing and examines the factors driving and hindering adoption. The limitation of traditional drug discovery has led to the growing interest in AI-based drug repurposing, which offers numerous advantages in terms of time, speed, and cost. AI-based drug repurposing has been explored across different disease indications, such as rare diseases, oncology, metabolic diseases, autoimmune diseases, and neurodegenerative diseases.

The study focuses on the different AI technologies, such as machine learning, deep learning, and generative AI, and how they are enabling AI-based drug repurposing. In addition, the report looks at key participants involved in AI-based drug repurposing, including their AI approaches, disease focus areas, and future outlook. The study examines the key factors driving and restraining the growth of AI-based drug repurposing and identifies the growth opportunities emerging from the changes in this space that key participants and stakeholders can leverage.

Key Questions This Study Answers:

• What are the key drivers and restraints in the development of AI-based drug repurposing?
• What are the applications of AI-based drug repurposing across disease indication?
• What are the key trends in AI-based drug repurposing?
• Who are the key innovators, and what are their approaches to AI-based drug repurposing?
• What does the funding and partnership landscape look like?

Key Growth Opportunities

• Collaborative Environment
• Focus on Rare Diseases
• Focus on Drug Indication Expansion

Key Topics Covered:

Strategic Imperatives

• The Impact of the Top 3 Strategic Imperatives on the AI-based Drug Repurposing Industry

Growth Opportunity Analysis

• Scope of Analysis
• Segmentation

Growth Generator

• Introduction
• Drug Repurposing Is More Efficient than Traditional Drug Discovery
• How AI-based Drug Repurposing Is Superior to Traditional Drug Discovery
• Growth Drivers
• Growth Restraints

AI Models Enabling Drug Repurposing

• How AI-based Drug Repurposing Works
• AI-based Drug Repurposing Approaches
• How AI Interprets Large Datasets
• Multiple Data Sources Available to Extract Different Types of Data to Determine Drug Repurposing Opportunity
• How Companies Use ML in Drug Repurposing
• How Companies Use DL in Drug Repurposing

Application Across Disease Indications

• Disease Focus Areas for AI-based Drug Repurposing
• Clinical Pipeline Analysis of Key Participants
• Key Trends - AI-based Drug Repurposing

Key Innovators - AI in Drug Repurposing

• Key Participants in AI-based Drug Repurposing
• Landscape of AI Technologies Used by Key Participants for Drug Repurposing

Funding and Partnerships

• Recent Funding Promoting AI-based Drug Repurposing
• Strategic Collaborations Accelerating the Use of AI-based Drug Repurposing

Next Steps

• Benefits and Impacts of Growth Opportunities

For more information about this report visit https://www.researchandmarkets.com/r/sy9o1p

About ResearchAndMarkets.com

ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

View source version on businesswire.com: https://www.businesswire.com/news/home/20241024064757/en/